Ying‐Jie Lu

2.9k total citations
42 papers, 2.2k citations indexed

About

Ying‐Jie Lu is a scholar working on Epidemiology, Molecular Biology and Microbiology. According to data from OpenAlex, Ying‐Jie Lu has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Epidemiology, 11 papers in Molecular Biology and 11 papers in Microbiology. Recurrent topics in Ying‐Jie Lu's work include Pneumonia and Respiratory Infections (21 papers), Respiratory viral infections research (11 papers) and Bacterial Infections and Vaccines (9 papers). Ying‐Jie Lu is often cited by papers focused on Pneumonia and Respiratory Infections (21 papers), Respiratory viral infections research (11 papers) and Bacterial Infections and Vaccines (9 papers). Ying‐Jie Lu collaborates with scholars based in United States, Brazil and United Kingdom. Ying‐Jie Lu's co-authors include Charles O. Rock, Richard Malley, Porter Anderson, Claudette M. Thompson, Marc Lipsitch, Debby Bogaert, Yongmei Zhang, Fan Zhang, Richard Lee and Kimberly D. Grimes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Ying‐Jie Lu

42 papers receiving 2.2k citations

Peers

Ying‐Jie Lu
Comparison fields: 5 of 96
  • Epidemiology 1.0k
  • Molecular Biology 694
  • Microbiology 481
  • Immunology 373
  • Infectious Diseases 359
Replace Nicholas P. West with:
Nicholas P. West Australia
Michael J. McConnell Spain
Jeroen Geurtsen Netherlands
Anne Marie Di Guilmi France
David J. Mead United States
Uwe H. Stroeher Australia
Brian Weinrick United States
Thomas P. Kohler Germany
Alice L. Erwin United States
Nicholas P. West Australia View profile →
Citations per field, relative to Ying‐Jie Lu
Ying‐Jie Lu · 1×
Citations per year, relative to Ying‐Jie Lu
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Countries citing papers authored by Ying‐Jie Lu

Since Specialization
Citations

This map shows the geographic impact of Ying‐Jie Lu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ying‐Jie Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Jie Lu more than expected).

Fields of papers citing papers by Ying‐Jie Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Jie Lu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ying‐Jie Lu. The network helps show where Ying‐Jie Lu may publish in the future.

Co-authorship network of co-authors of Ying‐Jie Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Jie Lu. A scholar is included among the top collaborators of Ying‐Jie Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying‐Jie Lu. Ying‐Jie Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 4
4 12
5 12
6 17
7 13
8 12
9 87
10 49
11 16
12 152
13 84
14 11
15 249
16 37
17 31
18 135
19 34
20 122

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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